Journal of South China University of Technology(Natural Science Edition) ›› 2025, Vol. 53 ›› Issue (6): 104-118.doi: 10.12141/j.issn.1000-565X.240119

• Intelligent Transportation System • Previous Articles     Next Articles

Review of Multi-Level Urban Impacts of Shared Autonomous Vehicles

ZHONG Shaopeng1,2,3(), LIU Ao2, ZHAI Junnuo2, FAN Meihan4, LI Xiyao5(), LIN Yuan6, LI Zhenhua7   

  1. 1.School of Economics and Management,Dalian University of Technology,Dalian 116024,Liaoning,China
    2.Department of Transportation and Logisctics,Dalian University of Technology,Dalian 116024,Liaoning,China
    3.International Urbanology Research Center,Center for Urban Governance of Zhejiang,Hangzhou 311121,Zhejiang,China
    4.School of Information and Business Management,Dalian Neusoft University of Information,Dalian 116023,Liaoning,China
    5.Engineering and Technology,Research Institute of Highway Ministry of Transport,Beijing 100088,China
    6.School of Public Administration and Policy,Dalian University of Technology,Dalian 116024,Liaoning,China
    7.State Key Lab of Intelligent Transportation System,Research Institute of Highway Ministry of Transport,Beijing 100088,China
  • Received:2024-03-13 Online:2025-06-10 Published:2024-12-06
  • Contact: LI Xiyao E-mail:szhong@dlut.edu.cn;lixy@itsc.cn
  • Supported by:
    the National Natural Science Foundation of China(71971038);the Key R & D Program of Shandong Province(2023CXPT005);the Sub-Project of the Major Consulting Research Project of the Chinese Academy of Engineering(2023-JB-10-04)

Abstract:

To gain a deeper understanding of the potential impacts of Shared Autonomous Vehicles (SAVs) on urban and promote the sustainable development of urban transportation systems, this paper conducted a comprehensive review and systematic analysis of the multi-level impacts of SAVs. The aim is to summarize the main contributions and shortcomings of previous studies and propose possible directions for future research. The review findings indicate that existing studies primarily focus on the short-term impacts of SAVs on the transportation system, including residents’ travel behavior and road traffic flow. However, there is relatively little research on the long-term impacts of SAVs, particularly concerning urban accessibility, environment, and energy. While some studies have revealed potential negative effects of SAVs, such as adverse impacts on the environment or accessibility, few have proposed targeted and effective development strategies. Additionally, in terms of methods, existing studies mainly rely on qualitative analysis or independent transportation demand models for projections and simulations, which have certain limitations regarding the reliability of the results. Future research should focus on developing integrated land use and transportation models combined with data-driven approaches to more precisely, comprehensively, and systematically characterize the long-term (negative) impacts of introducing SAVs on urban land use, the environment, and energy consumption. Additionally, targeted development strategies and responsive measures should be proposed to optimize the effectiveness of SAV deployment, mitigate potential adverse effects, and promote the evolution of urban transportation systems toward greater efficiency, intelligence, and sustainability.

Key words: intelligent transportation, shared autonomous vehicle, land use and transportation, urban impact, accessibility

CLC Number: